Generative AI has fundamentally altered the way we think of knowledge and how we interact with it. The world of knowledge management has shifted from focusing on the precise retrieval of knowledge items to the generation of answers and solutions.
This shift is especially impactful on the teams whose main purpose is to answer questions and solve problems — service organizations. It’s no stretch to say that over the course of the past few months, the desire to enable this new experience for both customers and employees while reaping the benefits of experience and efficiency has overshadowed most other technological focus.
Yet Large Language Models (LLMs), the very technology powering this shift, are still flawed, essentially functioning as capable but careless writers. LLMs are trained to produce coherent text, but have no special regard for nuance or facts. So how can service organizations harness the power of LLMs to transform their knowledge experience without compromising on quality and security?
Join TSIA’s John Ragsdale and xFind’s Sariel Moshe for a 45-minute webinar covering key topics like:
- How xFind enables service organizations to implement the ‘ChatGPT’ experience with their knowledge in a matter of days by enabling super precise retrieval technology
- What’s needed to turn your service organization into a knowledge organization that allows AI to do much of the heavy lifting
- The directions in which information retrieval and generative AI are evolving, and what to expect in the coming years
Distinguished Researcher, VP Technology Ecosystems, TSIA